应用灰色模式预测潜山灰岩产能  

Productivity Prediction of Buried Hill Carbonate Rock by Use of Grey Pattern Recognition

作　　者：隋少强[1] 王允诚[2] 徐国盛[2] 匡建超[2] 李德敏[2] 

机构地区：[1]石油大学资信学院 [2]成都理工大学能源学院,四川成都610059

出　　处：《新疆石油学院学报》2003年第1期45-50,共6页Journal of Xinjiang Petroleum Institute

摘　　要：灰色系统理论的最大优点是,在评价一个目标时,不只是考虑"是"与"非"两个极端情况,而是认为参数之间存在着"灰关系",不能够硬性地把一个参数划归到某一类,而只能认为它归属某一类的程度如何。本文采用灰色模式识别法,对济阳坳陷义和庄区块的潜山灰岩产能进行预测,即通过数据标准化、构造白化函数阵、进行模式训练等步骤,来建立已测试层段的模式,再根据回归模式预测未测试层段的产能等参数。The greatest advantage of grey system is that not only are the two kinds of extreme conditions of 'yes' or 'no' considered but also the 'grey relationship' exsits among parameters while a subject is being appraised.So a parameter could not be delimited inflexibly to some kind of parameter, but could be delimited to some extent. In this paper, by using the method of grey pattern recognition, the productivity of buried hill carbonate rock of Yihezhuang tract was predicted. The concrete procedure is as follows: ,first, model of tested strata is made by standardizing data, making minefest function matrix and training model, then, productivity of untested strata is predicted by using the model.

关 键 词：应用 灰色模式 预测 潜山灰岩 模式识别 白化函数 产能预测 义和庄区块 济阳坳陷 油田开发 

分 类 号：TE328[石油与天然气工程—油气田开发工程]